Papers by Joon Son Chung
Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing (2025.findings-emnlp)
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| Challenge: | Existing speech translation approaches often overlook the transfer of speech patterns, leading to mismatches with source speech and limiting their suitability for dubbing applications. |
| Approach: | They propose a diffusion-based speech-to-unit translation model with explicit duration control that enables time-aligned translation. |
| Outcome: | The proposed system preserves key characteristics such as duration, speaker identity, and speaking speed while maintaining key characteristics. |
Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses (2026.findings-acl)
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| Challenge: | Recent advances have introduced GER frameworks that utilize LLMs to refine ASR outputs. |
| Approach: | They propose a framework that allows a large language model to compose independent N-best hypotheses from separate automatic speech recognition (ASR) and visual speech recognition models. |
| Outcome: | The proposed framework achieves 57.7% error rate gain over standard ASR baseline, compared to single-stream approaches that achieve only 10% gain. |